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farhadi--somayeh
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All-Optical Scalable Multi-stage Interconnection Network for Data Centers
, M.Sc. Thesis Sharif University of Technology ; Koohi, Somayeh (Supervisor)
Abstract
According to the increasing amount of data exchanged among data centers, the need for speeding up and bandwidth and reduced power consumption has been increased. The information show that about 77% of the data is moved into the data centers. On the other hand, 10% of data center’s power consumption is used to data transmission. Improving the interconnection network of data centers can play an important role in reducing power consumption and speeding up. In recent years, optical interconnects have gained attention as a promising solution. Nevertheless, offering an all-optical and efficient architecture is an important issue. In this study, we intend to provide a multi-stage, all-optical...
Adopting Dynamic Topology for Energy Management in Optical Interconnection Networks in Data Centers
, M.Sc. Thesis Sharif University of Technology ; Koohi, Somayeh (Supervisor)
Abstract
Today with the deployment of cloud computing and web applications; We need to have powerful datacenters with provisioning high bandwidth. Current data centers with electronic network interconnects, using excessive power to provisioning requisite bandwidth. Nevertheless, interconnecting networks in data centers isn’t in maximum efficiency and many components of them aren't used efficiently. So it is necessary to use an optical network with dynamic provisioning variable bandwidth and energy management. In this approach, our proposed architecture is designing topology with adopting dynamically for energy management in optical interconnect networks in data centers. To achieve this we can study...
Feasibility Analysis of Backflow Detection in Lobe Blowers in Khuzestan Steel Plant using Condition Monitoring Techniques
, M.Sc. Thesis Sharif University of Technology ; Behzad, Mehdi (Supervisor) ; Mohammadi, Somayeh (Supervisor)
Abstract
Lobe blowers are positive displacement machines (PDM) that are widely used in various industries. The efficiency of lobe blowers depends on the clearance between fixed and moving parts. If the clearance between the parts increases, backflow occurs, which means that the flow returns from the high-pressure zone of the outlet to the low-pressure zone of the inlet, and this makes the blower not have the initial efficiency and work with a lower capacity than its design. This research is carried out with the aim of checking the feasibility of backflow detection using two condition monitoring methods, including ultrasonic and thermography techniques. The sample of this research includes seven...
Comparison of Vibration and Ultrasonic Signal Performance in Predicting the Remaining Useful Life of Rolling Element Bearings
, M.Sc. Thesis Sharif University of Technology ; Behzad, Mehdi (Supervisor) ; Mohammadi, Somayeh (Supervisor)
Abstract
The prediction of Remaining Useful Life (RUL) has become a critical tool in enhancing the availability of rotating machinery. By knowing the remaining time before a bearing failure occurs during operation, significant reductions in unplanned production downtimes and associated costs can be achieved. In this study, by analyzing the time signals of vibration and ultrasonic data related to the bearing of a 4.1 MW electromotor from installation to replacement, and by investigating the behavior trends and correlation between extracted features, RMS has been ultimately identified as the health indicator in both vibration and ultrasonic techniques for monitoring the bearing’s condition. First,...
, M.Sc. Thesis Sharif University of Technology ; Behzad, Mehdi (Supervisor) ; Mohammadi, Somayeh (Supervisor)
Abstract
Bearings play a critical role in the functionality of rotating equipment across various industries, accounting for approximately 50% of equipment failures due to bearing malfunctions. Accurate life prediction of bearings is essential not only for preventing unexpected breakdowns and subsequent damage but also for minimizing unnecessary replacements of functional bearings, which can lead to increased operational costs. With the rise of artificial intelligence, numerous predictive models have been developed; however, many of these require extensive datasets, which are often unavailable in industrial settings. Data collection is typically irregular, based on the sensitivity of the equipment,...
Identification of Possible Failures in Online Data of Gas Turbines based on Information Fusion using Artificial Intelligence
, M.Sc. Thesis Sharif University of Technology ; Behzad, Mehdi (Supervisor) ; Mohammadi, Somayeh (Supervisor)
Abstract
Gas turbines' safe operation depends on the monitoring of performance thresholds and equipment limitations. This is accomplished through online data monitoring using sensors, with the collected data processed by monitoring software supplied by turbine manufacturers to extract information on operating conditions. The thresholds are usually set during manufacturing under standard conditions and saved in the control software. As the turbine ages and undergoes maintenance, these thresholds and operating conditions may change, requiring expert analysis to determine safe operating limits. Technological advancements have enabled the processing of operational data to establish patterns and create...
Feedback channel in linear noiseless dynamic systems controlled over the packet erasure network
, Article International Journal of Control ; Volume 88, Issue 8 , 2015 , Pages 1490-1503 ; 00207179 (ISSN) ; Sharif University of Technology
Taylor and Francis Ltd
2015
Abstract
This paper is concerned with tracking state trajectory at remote controller, stability and performance of linear time-invariant noiseless dynamic systems with multiple observations over the packet erasure network subject to random packet dropout and transmission delay that does not necessarily use feedback channel full time. Three cases are considered in this paper: (1) without feedback channel, (2) with feedback channel intermittently and (3) with full time availability of feedback channel. For all three cases, coding strategies that result in reliable tracking of state trajectory at remote controller with asymptotically zero mean absolute estimation error are presented. Asymptotic mean...
Stability of linear dynamic systems over the packet erasure channel: A co-design approach
, Article International Journal of Control ; Volume 88, Issue 12 , May , 2015 , Pages 2488-2498 ; 00207179 (ISSN) ; Sharif University of Technology
Taylor and Francis Ltd
2015
Abstract
This paper is concerned with the stability of linear time-invariant dynamic systems over the packet erasure channel subject to minimum bit rate constraint when an encoder and a decoder are unaware of the control signal. This assumption results in co-designing the encoder, decoder and controller. The encoder, decoder, controller and conditions relating transmission rate to packet erasure probability and eigenvalues of the system matrix A are presented for almost sure asymptotic stability of linear time-invariant dynamic systems over the packet erasure channel with feedback acknowledgment. When the eigenvalues of the system matrix A are real valued, it is shown that the obtained condition for...
Sub-optimal control over AWGN communication network
, Article European Journal of Control ; Volume 37 , 2017 , Pages 27-33 ; 09473580 (ISSN) ; Sharif University of Technology
2017
Abstract
In this paper a sub-optimal control technique is proposed for a linear Gaussian system with a few distributed interacting sub-systems. Controller of each sub-system has only access to its own measurement and a noisy version of measurement and control vectors of other sub-systems that are communicated through an Additive White Gaussian Noise (AWGN) communication network. The power to be allocated to each transmitter antenna is calculated so that the received signal is the transmitted signal plus additive white Gaussian noise. Under some conditions it is shown that the proposed sub-optimal control technique results in bounded mean square stability. The satisfactory performance of the proposed...
Stability of nonlinear uncertain Lipschitz systems over the digital noiseless channel
, Article Scientia Iranica ; Volume 25, Issue 3D , 2018 , Pages 1523-1532 ; 10263098 (ISSN) ; Sharif University of Technology
Sharif University of Technology
2018
Abstract
This paper is concerned with the stability of nonlinear Lipschitz systems subject to bounded process and measurement noises when transmission from sensor to controller is subject to distortion due to quantization. A stabilizing technique and a sufficient condition relating transmission rate to Lipschitz coefficients are presented for almost sure asymptotic bounded stability of nonlinear uncertain Lipschitz systems. In the absence of process and measurement noises, it is shown that the proposed stabilizing technique results in almost sure asymptotic stability. Computer simulations illustrate the satisfactory performance of the proposed technique for almost sure asymptotic bounded stability...
Reliability and Redundancy Analysis at a Methanol Plant in the Khark Petrochemical Complex: Investigation, Modeling, and Improvement
, M.Sc. Thesis Sharif University of Technology ; Mohammadi, Somayeh (Supervisor) ; Saniee Monfared, Mohammad Ali (Supervisor)
Abstract
Today, reliability assessment of production systems is crucial for ensuring continuous production and minimizing operational and maintenance (O&M) costs. One way to assess reliability at the system level is to create a reliability block diagram (RBD) and estimate the failure rates of equipment over their operational periods. This approach has been utilized in this thesis, focusing on assessment of the reliability of various units within the methanol plant at Khark Petrochemical Complex. In this context, understanding the condition of the equipment criticality is essential for constructing the reliability block diagram. The Crespo model and total criticality per risk (CTR) measure have been...
The Investigation of the Effectiveness of Engine Oil Filter Particle Analysis in Enhancing the Efficiency of Diesel Engine Condition Monitoring Programs
, M.Sc. Thesis Sharif University of Technology ; Behzad, Mehdi (Supervisor) ; Masoodi, Alireza (Supervisor) ; Mohammadi, Somayeh (Co-Supervisor)
Abstract
Over the years, as machines have been invented, their maintenance and repair have consistently been regarded as critical concerns. Oil analysis techniques are an effective method for monitoring the condition of mechanical equipment. Since filters in these devices continually absorb and remove a significant portion of particles from the lubricant, the selection of appropriate filters is crucial. While filters positively affect machine performance, they can also negatively impact oil condition monitoring. To mitigate this negative effect and improve the predictive accuracy of equipment health monitoring, oil filter analysis was conducted. In this research, analytical ferrography tests were...
Throughput enhancement of a random access WLAN by combination of digital and analog network coding
, Article IEEE International Conference on Communications, 5 June 2011 through 9 June 2011 ; June , 2011 ; 05361486 (ISSN) ; 9781612842332 (ISBN) ; Ashtiani, F ; Sharif University of Technology
2011
Abstract
In this paper, we propose a new packet routing scheme, i.e., a combined digital and analog network coding scheme (DNC-ANC) suitable for multiple unicast scenario. In this respect, we consider a random access WLAN comprised of single and multi-hop unicast sessions. Then we modify the MAC scheme in order to enable ANC. In order to evaluate the effect of the proposed DNC-ANC scheme analytically, we employ an open queueing network and map the details of MAC as well as routing schemes onto its suitable parameters. By writing the corresponding traffic equations and applying the stability condition, we are able to find the maximum stable throughput for the considered scenario. Finally, we will show...
A network coding-based packet forwarding scheme for unicast random access networks with exponential backoff
, Article 2013 Iran Workshop on Communication and Information Theory ; May , 2013 , Page(s): 1 - 6 ; 9781467350235 (ISBN) ; Ashtiani, F ; Sharif University of Technology
2013
Abstract
Exponential backoff is an intrinsic feature of MAC-layer standards of most types of ad hoc networks. It leads to random access channels with memory. In this paper we propose a new network coding-based packet forwarding scheme suitable for multiple unicast scenarios in downlink direction of a wireless network. The wireless nodes as well as the access point attempt to access the channel, based on slotted Aloha with exponential backoff. In the proposed scheme we convert multiple unicast scenario to a combination of several anycast and a multicast scenarios. By proposing an open multiclass queueing network, we are able to derive the maximum stable download throughput of the network. The...
Distributed model predictive control with hierarchical architecture for communication: application in automated irrigation channels
, Article International Journal of Control ; Volume 89, Issue 8 , 2016 , Pages 1725-1741 ; 00207179 (ISSN) ; Khodabandehlou, A ; Sharif University of Technology
Taylor and Francis Ltd
2016
Abstract
This paper is concerned with a distributed model predictive control (DMPC) method that is based on a distributed optimisation method with two-level architecture for communication. Feasibility (constraints satisfaction by the approximated solution), convergence and optimality of this distributed optimisation method are mathematically proved. For an automated irrigation channel, the satisfactory performance of the proposed DMPC method in attenuation of the undesired upstream transient error propagation and amplification phenomenon is illustrated and compared with the performance of another DMPC method that exploits a single-level architecture for communication. It is illustrated that the DMPC...
Involutions on the second duals of group algebras and a multiplier problem
, Article Proceedings of the Edinburgh Mathematical Society ; Volume 50, Issue 1 , 2007 , Pages 153-161 ; 00130915 (ISSN) ; Ghahramani, F ; Sharif University of Technology
2007
Abstract
We show that if a locally compact group G is non-discrete or has an infinite amenable subgroup, then the second dual algebra L1(G) ** does not admit an involution extending the natural involution of L1(G). Thus, for the above classes of groups we answer in the negative a question raised by Duncan and Hosseiniun in 1979. We also find necessary and sufficient conditions for the dual of certain left-introverted subspaces of the space Cb(G) (of bounded continuous functions on G) to admit involutions. We show that the involution problem is related to a multiplier problem. Finally, we show that certain non-trivial quotients of L1(G)** admit involutions
Kinetics of zinc hydrosulfite slurry reaction
, Article Scientia Iranica ; Volume 9, Issue 1 , 2002 , Pages 93-98 ; 10263098 (ISSN) ; Bayat, M ; Sharif University of Technology
Sharif University of Technology
2002
Abstract
Zinc hydrosulfite is produced by slurry reaction between sulfur dioxide and zinc powder. This reaction is the first step of sodium hydrosulfite production in zinc powder processing. In this paper through performing a series of experiments, zinc hydrosulfite production rate is obtained as a function of SO2 flow rate, temperature and specific area of zinc powder. In addition, equations for predicting the end-point of the reaction and the decomposition rate of zinc hydrosulfite after that end-point are proposed. Finally, a time dependent flow rate equation is suggested to predict the maximum yield
Alert Correlation Analysis For Intrusion Detection
, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasool (Supervisor)
Abstract
While intrusion detection systems (IDSs) are widely used, large number of alerts as well as high rate of false positive events make such a security mechanism insufficient. Accordingly, a track of recent security research, focused on alert correlation. This thesis proposes a Hidden Markov Model (HMM) based correlation method of intrusion alerts which have been fired from different IDS sensors across an enterprise. We used HMM to predict the next attack class of the intruder that is also known as plan recognition. Our method has two advantages. Firstly, it does not require any usage or modeling of network topology, system vulnerabilities, and system configurations. Secondly, as we perform high...
Network Coding-based Packet Relaying in Wireless Networks
, M.Sc. Thesis Sharif University of Technology ; Ashtiani, Farid (Supervisor)
Abstract
In this thesis, we propose two new network coding-based packet relaying schemes suitable for multiple unicast scenarios in a random access network. In such networks the channels may have memory dependent upon the random access scheme. Thus, the optimal scheme for memoryless channels reported recently in the literature is not necessarily optimal in random access networks. In our proposed schemes, we convert a multiple unicast scenario to a combination of multiple anycast and a few multicast scenarios. By such an approach, we exploit the channels between relay node and the other nodes, instead of using only one channel at each packet transmission, for as many as possible. By simple analytical...
, M.Sc. Thesis Sharif University of Technology ; Farhadi, Fathollah (Supervisor)
Abstract
The aim of this project is Industrial Solvents (White Spirit) producing in Tehran Refinery. For this manner “Wild Naphtha” from Gasoil Hydrotreater and Kerosene Hydrotreater Units was chosen as feed stock for solvents preparation. In addition, Pentane Recovery Column is selected for Simulation and Optimization based on Wild Naphtha. As a Result, Abadan White Spirit 402 and 410 has been produced and a side stream which is full of Aromatic is obtained. Simultaneously, Tray Hydraulics and Solvents production in different cases (Various Pressure and different Split Ratio of Feed Stock) are evaluated, so optimum Tower process conditions such as pressure, Temperature and Split Ratio of Feed Stock...